In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery by Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Ruopu Li, Haoteng Zhao

“…This algorithm only depended on one place's training data to mapping other places’ growing sugarcane. …”
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Nonlinear Control of an Open-Loop Open-Winding Motor System with Modulated Converters by Oleschuk V.I.

“…Assessment of harmonic composition of the phase voltages of drive system with modified scheme of space-vector modulation has been done. …”
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Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. by Muhammad Hilal Alkhudaydi, Aiedh Mrisi Alharthi

“…These are then compared with other algorithms, such as vector autoregression, in portfolio optimisation tests. …”
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A low complexity dynamic subarray combination method for MIMO transmitter by Cui WANG, Peng PAN, Shuai ZHANG, Junrong YAN

“…For the mmWave MIMO system using a partially-connected structure,in order to improve the spectral efficiency,the antenna composition of each subarray will be dynamically adjusted according to the channel conditions.However,the optimal grouping of antennas requires exhaustive searching for all possible antenna combinations according to certain criteri,which leads to unacceptable complexity.In response to the problem,a low-complexity sub-array dynamic allocation method was proposed.The core was to introduce certain rules when grouping array elements,thereby significantly reducing the number of combinations and reducing the search range.Specifically,two low-complexity antenna combination algorithms were proposed.Firstly,considering the strong correlation between mmWave antennas,multiple adjacent antennas were virtualized as an array element,thereby reducing the search space.Secondly,by dividing all antennas into upper and lower half areas,the antenna combination based on partition was realized,and the search space was also reduced.Simulation results show that the proposed method can achieve a good trade-off between performance and complexity.…”
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Projection Profiling: A Data Compressing Strategy in Three-Dimensional Liquid Chromatography for Quality Control of Traditional Herbal Medicine by Jing Zhang

“…In this paper, eleven baseline correction algorithms are optimized by using the effective information factor (<i>EI</i>) as an indicator. …”
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Crystal structure generation with autoregressive large language modeling by Luis M. Antunes, Keith T. Butler, Ricardo Grau-Crespo

“…Seeding structure prediction algorithms with quality generated candidates can overcome a major bottleneck. …”
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South China Sea SST Fronts, 2015–2022 by Igor M. Belkin, Yi-Tao Zang

“…The combination of high-resolution, cloud-free, four-day-composite SST imagery from AHI, the advanced front-preserving gradient algorithm BOA, and digital contrast enhancement with the log-transformation of SST gradients allowed us to identify numerous mesoscale/submesoscale fronts (including a few fronts that have never been reported) and document their month-to-month variability and spatial patterns. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…To optimize the selected input variables, including tubing inside diameter, gas injection rate, and separator pressure, various optimization algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), genetic algorithm (GA), and a Novel optimization algorithm in a gas-lift study called grey wolf optimization (GWO), were utilized considering the constraint of the limited available gas. …”
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Assessment of the impact of a new sequential approach to antimicrobial use in young febrile children in the emergency department (DIAFEVERCHILD): a French prospective multicentric... by Elsa Tavernier, Elise Launay, Christèle Gras Le Guen, Gaelle Hubert, Cécile Feildel Fournial, Anne Chauvire-Drouard, Fleur Lorton

“…In a second period, a point-of-care PCT-based algorithm will be used in half of the clusters. The primary endpoints collected on day 15 after ED consultation will be a composite outcome of death or intensive care unit admission for any reason, disease-specific complications, diagnosis of bacterial infection after discharge from the ED for the non-inferiority objective and proportion of children with antibiotic treatment administered for the superiority objective. …”
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Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning by Ranran Kou, Cong Wang, Jinxia Liu, Ran Wan, Zhe Jin, Le Zhao, Youjie Liu, Junwei Guo, Feng Li, Hongbo Wang, Song Yang, Cong Nie

“…However, when applied to leaf position discrimination, these models often rely on principal components derived from dimensionality-reduced spectral signals, resulting in limited interpretability and difficulty in identifying key chemical components. Chemical composition data combined with algorithmic models can also be used to discriminate tobacco leaf positions. …”
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Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics by Xingda Li, Xueqi He, Yu Zhang, Xinyuan Hao, Anqi Xiong, Jiayu Huang, Biying Jiang, Zaiyu Tong, Haiyan Huang, Lian Yi, Wenjia Chen

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ZEB1 transcription factor promotes immune escape in melanoma by Christophe Caux, Stephane Dalle, Arnaud de la Fouchardière, Laurie Tonon, Maud Plaschka, Valentin Benboubker, Maxime Grimont, Justine Berthet, Jonathan Lopez, Myrtille Le-Bouar, Brigitte Balme, Garance Tondeur, Lionel Larue, Alain Puisieux, Yenkel Grinberg-Bleyer, Nathalie Bendriss-Vermare, Bertrand Dubois, Julie Caramel

“…Algorithm-based spatial reconstitution of tumors allowed the quantification of CD8+, CD4+ T cells number and their activation state (PD-1, Ki67). …”
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Сombat wounds microflora in modern warfare by V. P. Kovalchuk, N. S. Fomina, V. M. Kondratiuk, О. О. Fomin, Y. V. Lazarenko, K. V. Gumenyuk

“…Results. The composition of predominant wound pathogens in the most recent observation period changed insignificantly compared to the 2017–2020 period. …”
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Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

“…According to the different computing resources and the responsibility of participants, the adaptive Proof of Liveness and Quality consensus and hierarchical federated learning algorithm for master‐slave multichain are proposed. …”
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On the Development of a Sense and Avoid System for Small Fixed-Wing UAV by Bruno M. B. Pedro, André C. Marta

“…A collision avoidance algorithm utilizing the Vector Field Histogram method was implemented to process sensor data and generate real-time trajectory corrections. …”
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Evolving Neural Network Controllers for a Team of Self-Organizing Robots by István Fehérvári, Wilfried Elmenreich

“…In this paper, we describe a novel design approach using an evolutionary algorithm and artificial neural networks to automatize the part of the design process that requires most of the effort. …”
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A Compound Controller of an Aerial Manipulator Based on Maxout Fuzzy Neural Network by Xinchen Qi, Jianwei Wu, Jiansheng Pan

“…To enhance the stability of the aerial manipulator, a composite controller combining conventional proportion integration differentiation (PID) control, fuzzy theory, and neural network algorithm is proposed. …”
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Intelligent Transmission Power Allocation for Distributed Beamforming in Wireless Sensor Networks by Sungmoon Chung, Inwhee Joe

“…As a result, we propose an Intelligent Transmission Power Allocation (ITPA) algorithm to guarantee the required channel capacity considering dynamic channel statement, the number of cooperating source nodes, and the distance between the average source nodes and destination with simplicity computation. …”
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ANALYSIS OF NEW CHAOTIC MAP AND PERFORMANCE EVALUATION IN ITS APPLICATION TO DIGITAL COLOR IMAGE ENCRYPTION by Ita Mar'atu Solihat, Suryadi MT, Yudi Satria

“…In this research a new chaotic map which is a modification from composition of MS map and Improved logistics map is proposed. …”
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Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective by Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, Angela Santoro, Miriam Dellino, Gerardo Cazzato, Antonio Malvasi, Antonella Vimercati, Leonardo Resta, Gian Franco Zannoni, Eliano Cascardi

“…Finally, we outline future research directions, emphasizing the refinement of AI algorithms for routine clinical integration and fostering interdisciplinary cooperation among pathologists, computational researchers, and clinical specialists.…”
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